La empresa autónoma con SAP
En la última década, has escuchado los grandes anuncios de SAP y has sido testigo de sus principales iniciativas para desarrollar, mejorar e innovar el software en la nube. ¿Estás listo para la gran revelación? Conoce la Empresa Autónoma con SAP, donde las aplicaciones de negocios, los datos y la IA convergen en un único modelo operativo que transforma tu forma de trabajar. Con este libro como guía, recorrerás la arquitectura que lo hace realidad: SAP Cloud ERP y las aplicaciones de línea de negocio (LoB) como núcleo operativo, la Plataforma de IA Empresarial de SAP (que combina SAP BTP, SAP Business Data Cloud y SAP Business AI) como capa de inteligencia, y agentes autónomos integrados en cada área de proceso, desde las finanzas hasta la cadena de suministro. ¡Descubre cómo el software SAP que ya conoces se integra con nuevas y potentes capacidades, y traza tus primeros pasos hacia una transformación sin interrupciones!
- Observa cómo SAP Cloud ERP, las aplicaciones de línea de negocio y Joule funcionan en conjunto en SAP Autonomous Suite, con agentes que operan dentro de cada dominio de proceso de negocio
- Apóyese en SAP Business AI Platform, la base confiable que unifica SAP BTP, SAP BDC, SAP Business AI y la gestión de la transformación empresarial
- Pase de la automatización a la autonomía con agentes integrados, gobernanza de IA y una cadena de herramientas de transformación impulsada por agentes
Aprenderás sobre:
- Aplicaciones:
Descubra cómo SAP Cloud ERP y las aplicaciones de línea de negocio trabajan en conjunto en las áreas de finanzas, cadena de suministro, compras, experiencia del cliente y recursos humanos. Explore cómo los agentes autónomos integrados en cada área de proceso perciben, deciden y actúan de manera continua en toda la SAP Autonomous Suite.
- Datos e IA:
Descubra cómo SAP Business AI Platform unifica SAP BTP, SAP BDC, SAP Business AI y la gestión de la transformación empresarial en una base regulada para operaciones empresariales contextuales y preparadas para la IA.
- Transformación:
Ve más allá de la implementación para comprender cómo la extensibilidad, la integración, la gobernanza de la IA y la cadena de herramientas de transformación de SAP ayudan a las organizaciones a pasar de una modernización puntual a la mejora continua y, en última instancia, a la autonomía.
Aspectos Destacados:
- SAP Autonomous Suite
- SAP Cloud ERP y aplicaciones de línea de negocio
- Entornos ERP de dos niveles
- Capa de experiencia de usuario con Joule
- Capa de procesos con agentes autónomos en todos los dominios
- Capa de base y plataforma con SAP Business AI Platform
- SAP Business Technology Platform
- SAP Business Data Cloud
- Transformación impulsada por agentes y gobernanza de la IA
- El efecto de inercia autónomo
Ver Tabla de Contenidos Completa
The Autonomous Enterprise with SAP
In the last decade, you have heard SAP's big announcements and watched its major moves to develop, enhance, and innovate cloud software. Are you ready for the big reveal? Get to know the Autonomous Enterprise with SAP, where business apps, data, and AI converge into a single operating model that transforms the way you work. With this book as your roadmap, you will walk through the architecture that makes it real: SAP Cloud ERP and LoB apps as the operational core, SAP Business AI Platform (combining SAP BTP, SAP Business Data Cloud, and SAP Business AI) as the intelligence layer, and autonomous agents embedded in every process area, from finance to the supply chain. Discover how familiar SAP software connects with powerful new capabilities and plot your first steps toward non-disruptive transformation!
- See how SAP Cloud ERP, line-of-business applications, and Joule work together across SAP Autonomous Suite, with agents operating within each business process domain
- Build on SAP Business AI Platform, the trusted foundation that unifies SAP BTP, SAP BDC, SAP Business AI, and business transformation management
- Move from automation to autonomy with embedded agents, AI governance, and an agent-led transformation toolchain
You'll learn about:
- Apps:
See how SAP Cloud ERP and line-of-business applications work together across finance, supply chain, procurement, customer experience, and HR. Explore how autonomous agents embedded in each process area sense, decide, and act continuously across SAP Autonomous Suite.
- Data and AI:
Learn how SAP Business AI Platform unifies SAP BTP, SAP BDC, SAP Business AI, and business transformation management into one governed foundation for contextual, AI-ready enterprise operations.
- Transformation:
Go beyond implementation to understand how extensibility, integration, AI governance, and SAP's transformation toolchain help organizations move from one-time modernization to continuous improvement and ultimately, autonomy.
Key Highlights:
- SAP Autonomous Suite
- SAP Cloud ERP and LoB apps
- Two-tier ERP landscapes
- User experience layer with Joule
- Process layer with autonomous agents across every domain
- Foundation and platform layer with SAP Business AI Platform
- SAP Business Technology Platform
- SAP Business Data Cloud
- Agent-led transformation and AI governance
- The autonomous flywheel effect
View Full Table of Contents
- Foreword by Darwin Deano
- Preface
- 1 Introducing the Autonomous Enterprise: Apps, Data, and AI
- 1.1 The Cloud and Autonomous Mindset
- 1.2 The Autonomous Enterprise Flywheel
- 1.3 Applications: SAP Autonomous Suite
- 1.3.1 SAP Cloud ERP
- 1.3.2 Line-of-Business Applications
- 1.4 Data: The Business Data Foundation
- 1.5 Platform: SAP Business Technology Platform as the Foundation
- 1.6 SAP Business AI: The Intelligence Engine
- 1.6.1 Intelligent Technologies
- 1.6.2 Embedded Intelligence in Applications
- 1.6.3 AI Assistants and Agents
- 1.6.4 The Pillars of SAP Business AI Platform
- 1.6.5 Five Patterns of Business AI Applications
- 1.7 Business AI Maturity Model: From Augmentation to Autonomy
- 1.8 Case Studies
- 1.8.1 The Company
- 1.8.2 The Business Problems
- 1.9 Summary
- PART I SAP Autonomous Suite
- 2 SAP Cloud ERP Business Capabilities
- 2.1 Finance
- 2.1.1 Universal Journal
- 2.1.2 Record-to-Report
- 2.1.3 Financial Planning and Analysis
- 2.1.4 Invoice-to-Pay and Invoice-to-Cash
- 2.1.5 Treasury and Cash Management
- 2.1.6 Financial Compliance Management
- 2.1.7 Outcome
- 2.2 Sales
- 2.2.1 Quote-to-Order
- 2.2.2 Order and Contract Management
- 2.2.3 Customer Invoice Management
- 2.2.4 Customer Returns Management
- 2.2.5 Sales Analytics
- 2.2.6 Solution Business Models
- 2.2.7 Advanced Intercompany Sales
- 2.2.8 Outcome
- 2.3 Sourcing and Procurement
- 2.3.1 Source-to-Contract
- 2.3.2 Procure-to-Receipt
- 2.3.3 Central Procurement
- 2.3.4 Invoice-to-Pay
- 2.3.5 Insight-to-Action
- 2.3.6 Public Cloud Versus Private Cloud
- 2.3.7 Outcome
- 2.4 Production Planning and Manufacturing
- 2.4.1 Plan-to-Optimize Fulfillment Strategy
- 2.4.2 Plan and Schedule
- 2.4.3 Manufacturing
- 2.4.4 Quality Management
- 2.4.5 Public Cloud Versus Private Cloud
- 2.4.6 Outcome
- 2.5 Logistics
- 2.5.1 Inventory Management
- 2.5.2 Logistics Execution
- 2.5.3 Integrated Warehouse Management
- 2.5.4 Order Promising: Available-to-Promise
- 2.5.5 Transportation Management
- 2.5.6 Handling Unit Management
- 2.5.7 Public Cloud Versus Private Cloud
- 2.5.8 Outcome
- 2.6 Asset Management
- 2.6.1 Intelligent Asset Management
- 2.6.2 Plan-to-Optimize Assets
- 2.6.3 Operate-to-Maintain Assets
- 2.6.4 Offboard-to-Decommission
- 2.6.5 Managing Assets
- 2.6.6 Public Cloud Versus Private Cloud
- 2.6.7 Outcome
- 2.7 Summary
- 3 Two-Tier ERP Landscapes
- 3.1 What Is Two-Tier ERP?
- 3.2 Deployment Models and Use Cases
- 3.3 Finance Domain: From Consolidation to Strategic Planning
- 3.4 Sales Domain: Order-to-Cash
- 3.5 Procurement Domain: Procure-to-Pay
- 3.6 Integration and Setup
- 3.7 Accelerators
- 3.8 Summary
- 4 LoB Apps and Extended Capabilities
- 4.1 Supply Chain
- 4.1.1 The Strategic Challenge
- 4.1.2 SAP Integrated Business Planning
- 4.1.3 SAP Digital Manufacturing
- 4.1.4 SAP Logistics Management
- 4.1.5 SAP Asset Performance Management
- 4.1.6 SAP Supply Chain Orchestration
- 4.1.7 The Integration Model
- 4.2 Finance and Spend
- 4.2.1 The Strategic Challenge
- 4.2.2 Financial Core and Office of the CFO
- 4.2.3 SAP Ariba
- 4.2.4 SAP Concur
- 4.2.5 SAP Fieldglass
- 4.2.6 The Integration Model
- 4.3 Customer Experience
- 4.3.1 The Strategic Challenge
- 4.3.2 SAP Customer Data Cloud
- 4.3.3 SAP Marketing Cloud
- 4.3.4 SAP Commerce Cloud
- 4.3.5 SAP Sales Cloud
- 4.3.6 SAP Service Cloud
- 4.3.7 The Integration Model
- 4.4 Human Resources
- 4.4.1 The Strategic Challenge
- 4.4.2 SAP SuccessFactors
- 4.4.3 The Integration Model
- 4.5 Summary
- 5 Embedded AI in Business Processes
- 5.1 How SAP Makes the Autonomous Enterprise Real
- 5.2 Finance
- 5.2.1 Overview of Autonomous Finance
- 5.2.2 Plan to Optimize Financials
- 5.2.3 Invoice-to-Cash
- 5.2.4 Invoice-to-Pay
- 5.2.5 Treasury and Working Capital
- 5.2.6 Accounting and Close
- 5.2.7 Governance, Risk, and Compliance
- 5.3 Lead-to-Cash
- 5.3.1 Overview of Autonomous CX
- 5.3.2 Order-to-Fulfill
- 5.3.3 Opportunity-to-Quote
- 5.3.4 Invoice-to-Cash
- 5.3.5 Manage Customer and Channels
- 5.4 Source-to-Pay
- 5.4.1 Overview of Autonomous Spend
- 5.4.2 Source-to-Contract
- 5.4.3 Procure-to-Receipt
- 5.5 Plan-to-Fulfill
- 5.5.1 Overview of Autonomous Supply Chain Management
- 5.5.2 Plan-to-Schedule
- 5.5.3 Manufacturing
- 5.5.4 Quality Management
- 5.5.5 Logistics
- 5.6 Acquire-to-Decommission
- 5.6.1 Plan-to-Optimize Assets
- 5.6.2 Acquire-to-Onboard
- 5.6.3 Operate-to-Maintain
- 5.6.4 Offboard-to-Decommission
- 5.6.5 Manage Assets
- 5.6.6 Industry AI for Asset Management
- 5.7 Summary
- 6 Industry-Specific Autonomous Scenarios
- 6.1 Life Sciences: Traceability, Compliance, and Controlled Supply Chains
- 6.2 Consumer Products: Demand Volatility and Omnichannel Fulfillment
- 6.3 High Tech: Configurable Products and Rapid Innovation Cycles
- 6.4 Industrial Manufacturing: Supply Constraints and Production Continuity
- 6.5 Oil, Gas, and Energy: Distributed Operations and Asset Coordination
- 6.6 Summary
- PART II SAP Business AI Platform
- 7 The New Platform
- 7.1 The Platform Architecture
- 7.2 Build with SAP BTP and Joule Studio
- 7.2.1 Joule Studio
- 7.2.2 SAP Integration Suite
- 7.3 Knowledge Core with SAP Business Data Cloud
- 7.4 SAP AI Core and SAP AI Launchpad
- 7.5 The Generative AI Hub
- 7.6 Joule Work
- 7.7 SAP AI Agent Hub
- 7.8 Business Transformation Management
- 7.8.1 SAP Signavio
- 7.8.2 SAP LeanIX and Enterprise Architecture Management
- 7.9 Governing AI at Enterprise Scale
- 7.10 Summary
- 8 SAP Business Technology Platform
- 8.1 Clean Core
- 8.1.1 Grading System
- 8.1.2 In App Versus Side by Side
- 8.2 Accounts and Runtime Environments
- 8.3 SAP Build
- 8.3.1 Low-Code Tooling in SAP Build
- 8.3.2 Pro-Code Tooling
- 8.3.3 SAP Joule for Developers
- 8.3.4 Joule Studio
- 8.4 Platform Integration Capabilities
- 8.4.1 Integration Services
- 8.4.2 Event-Driven Integration
- 8.5 Lifecycle Management
- 8.6 Summary
- 9 SAP Business Data Cloud
- 9.1 Vision and Architecture
- 9.1.1 Positioning and Value Drivers
- 9.1.2 Applications, Data, and Business AI
- 9.1.3 Current Data Challenges
- 9.1.4 Key Components
- 9.2 Setting Up SAP Business Data Cloud
- 9.2.1 Technical and Administrative Steps
- 9.2.2 Provisioning the SAP Business Data Cloud Environment
- 9.2.3 Creating the SAP Business Data Cloud Formation
- 9.2.4 Users and Connecting Data
- 9.3 Integration with SAP Cloud ERP and LoB Applications
- 9.3.1 Prerequisites
- 9.3.2 SAP S/4HANA Cloud Private Edition
- 9.3.3 LoB Applications
- 9.3.4 SAP S/4HANA Cloud Public Edition
- 9.4 Intelligent Content and Data Products Economy
- 9.4.1 Data Products
- 9.4.2 Intelligent Packages and Domain Content
- 9.5 Zero-Copy Data Sharing
- 9.6 SAP Knowledge Graph and Integration with Joule Studio
- 9.7 Embedded AI Capabilities
- 9.7.1 AI-Assisted Features in SAP Datasphere
- 9.7.2 AI-Assisted Features in SAP Analytics Cloud
- 9.7.3 Agents
- 9.8 Governance
- 9.9 Use Case Patterns
- 9.9.1 Working Capital
- 9.9.2 On Time, In Full (OTIF)
- 9.9.3 Total Spend
- 9.9.4 Advanced Spend Intelligence Capabilities
- 9.9.5 SAP Business Warehouse in the Private Cloud
- 9.9.6 SAP Business Data Cloud Connect
- 9.10 Summary
- 10 Extensibility and Agent Development
- 10.1 In-App Extensibility for Key Users
- 10.1.1 Extending the Order-to-Cash Process
- 10.1.2 Transporting Key-User Extensibility Artifacts
- 10.2 Developer Extensibility
- 10.2.1 The ABAP RESTful Application Programming Model
- 10.2.2 Building a Credit Risk Scoring Service
- 10.2.3 Git-Enabled Transport Management for Developer Extensibility
- 10.3 Side-by-Side Extensibility
- 10.4 The Extensibility Wizard
- 10.5 Joule Skills and Agent Development
- 10.5.1 Joule Skills
- 10.5.2 The Joule Collections Agent
- 10.5.3 What’s Ahead for Joule Studio
- 10.6 Custom AI Services and Development
- 10.6.1 SAP AI Core
- 10.6.2 Integration with SAP Business Data Cloud
- 10.7 Summary
- 11 Integration Capabilities
- 11.1 Integration Strategy
- 11.1.1 Strategic Imperatives
- 11.1.2 SAP Integration Solution Advisory Methodology
- 11.1.3 SAP Business Accelerator Hub
- 11.1.4 SAP Integration Suite
- 11.2 APIs and Integration Flows
- 11.3 Event-Driven Integrations
- 11.3.1 Event Mesh and Advanced Event Mesh
- 11.3.2 Example: Advanced Event Mesh
- 11.4 AI for Integration
- 11.4.1 AI-Assisted Integration Development
- 11.4.2 Future AI Enhancements
- 11.5 SAP Master Data Integration
- 11.6 Summary
- PART III Transformation and Execution
- 12 Developing a Business Case for Your Autonomous Enterprise
- 12.1 Where Is the Value Lost?
- 12.2 What Agents and Assistants Actually Change
- 12.3 The Flywheel Model: How Autonomous Capabilities Amplify Traditional Value
- 12.4 Top-Down Value Versus Bottom-Up Value
- 12.4.1 Top-Down View: The Outcome That Matters
- 12.4.2 Bottom-Up View: Where the Cash Actually Gets Stuck
- 12.5 How the Autonomous Enterprise Bridges the Gap
- 12.6 Building a Value-Based Roadmap
- 12.7 From Rotterdam to Outcomes
- 12.8 Summary
- 13 Leveraging Tools for Transformation
- 13.1 Process Optimization with SAP Signavio
- 13.1.1 Process Analytics in SAP Signavio
- 13.1.2 Process Management in SAP Signavio
- 13.2 Architecture Management with SAP LeanIX
- 13.2.1 SAP LeanIX Application Portfolio Management
- 13.2.2 SAP LeanIX Technology Risk and Compliance
- 13.2.3 SAP LeanIX Architecture and Road Map Planning
- 13.3 Lifecycle Management with SAP Cloud ALM
- 13.4 Testing Automation with Tricentis
- 13.5 Data Migration with Syniti
- 13.6 Content Management with OpenText
- 13.7 Digital Adoption with WalkMe
- 13.7.1 Data and Analytics in WalkMe
- 13.7.2 Platform and Experience in WalkMe
- 13.8 Toolchain Convergence
- 13.8.1 SAP Transformation
- 13.8.2 Continuous Improvement Effort
- 13.9 Summary
- 14 AI Governance and Responsible AI
- 14.1 Ethical AI Guidelines: Principles into Action
- 14.1.1 SAP’s 10 Ethical AI Guiding Principles
- 14.1.2 Operationalizing Ethics: The Business AI Lifecycle and Risk Assessment
- 14.1.3 Ecosystem Governance and Global Regulatory Alignment
- 14.2 Privacy and Auditability: The Data Sanctuary
- 14.3 Sovereign AI and Global Compliance
- 14.3.1 Navigating the Regulatory Frontier and the EU AI Act
- 14.3.2 ISO/IEC 42001 and the Gold Standard for Governance
- 14.4 Autonomous Suite Resilience and the Secure Core
- 14.4.1 The Defense Architecture and Emerging Threat Mitigation
- 14.4.2 The Generative AI Hub as a Hardened Processing Enclave
- 14.4.3 Securing the Digital Assistant: The Joule Architecture
- 14.5 Agent Lifecycle Management
- 14.6 Summary
- 15 Operationalizing Your Vision
- 15.1 Deployment Strategy and Instance Planning: Choosing Your Starting Architecture
- 15.2 Organization Readiness Assessment
- 15.2.1 Scope and Value
- 15.2.2 Non-Negotiables
- 15.2.3 Capabilities and Processes
- 15.2.4 Data, Systems, and Integration
- 15.2.5 Governance
- 15.2.6 Change and Adoption
- 15.2.7 The Baseline Assessment Framework
- 15.3 From Readiness to Target Architecture
- 15.4 Multiyear Roadmap
- 15.5 The AI Golden Path: From Business Intent to Deployment
- 15.6 Value Realization Plan: Measuring and Governing the Outcomes
- 15.7 Summary
- 16 Change Management
- 16.1 Why Change Management Is Crucial
- 16.1.1 The Problem: Technology Does Not Transform Organizations
- 16.1.2 What Actually Changes
- 16.1.3 The Adoption Gap
- 16.2 Structured Change Management
- 16.2.1 Phase 1: Readiness
- 16.2.2 Phase 2: Adoption
- 16.2.3 Phase 3: Sustainment
- 16.2.4 Adoption Patterns Across Functional Domains
- 16.3 Measurement and Diagnosis: When Adoption Stalls
- 16.4 AI Fluency and Certification
- 16.5 Learning Journeys and Consultant Enablement
- 16.5.1 Learning Journeys: Structured Paths
- 16.5.2 Consultant Enablement Programs
- 16.6 Summary
- 17 From Analog Transactions to Autonomous Value
- 17.1 The Three Layers of the Autonomous Enterprise
- 17.2 Where Korindal Started: One Layer, Not Three
- 17.2.1 Phase 1: The Foundation: Standardize, Connect, and First Intelligence
- 17.2.2 Phase 2: Intelligence Activated: Agents as Advisors
- 17.2.3 Phase 3: Autonomous Within Guardrails: Agents as Decision-Makers
- 17.2.4 Phase 4: Coordinated Autonomy: The Flywheel in Motion
- 17.3 The Starting Point: What to Do Now
- 17.4 The Moment in History
- 17.5 Summary
- The Authors
- Index
